The Benefits of Switching from Scale-up to Scale-out Architectures

User Demand

Keeping up with user demand and managing a service outage or brownout is a significant challenge for IT departments. The traditional scale-up approach suffers from significant limitations and cost issues that prevent it from satisfying the ever-increasing workloads of a 24×7 online society.

Massively Parallel Processing

The use of massively parallel processing and scale-out architectures is the solution, since they can readily and non-disruptively apply additional compute resources to meet any demand, at a much lower cost, and with improved service availability.

HPE Shadowbase Data Replication

The use of the HPE Shadowbase data replication engine to share and maintain consistent data between multiple systems enables scale-out application and workload distributions across multiple compute nodes, which provides the necessary scalability and availability to meet the highest levels of user demand now and into the future.

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The Benefits of Switching from Scale-up to Scale-out Architectures

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